[GitHub] [airflow] mingshi-wang commented on a change in pull request #20530: Add sensor decorator

[GitBox <gi...@apache.org>]

mingshi-wang commented on a change in pull request #20530:
URL: https://github.com/apache/airflow/pull/20530#discussion_r776024235



##########
File path: airflow/decorators/sensor.py
##########
@@ -0,0 +1,93 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+from inspect import signature
+from typing import Any, Callable, Dict, Optional, Tuple
+
+from airflow.decorators.base import get_unique_task_id, task_decorator_factory
+from airflow.sensors.base import BaseSensorOperator
+
+
+class DecoratedSensorOperator(BaseSensorOperator):
+    """
+    Wraps a Python callable and captures args/kwargs when called for execution.
+
+    :param python_callable: A reference to an object that is callable
+    :type python_callable: python callable
+    :param task_id: task Id
+    :type task_id: str
+    :param op_kwargs: a dictionary of keyword arguments that will get unpacked
+        in your function (templated)
+    :type op_kwargs: dict
+    :param op_args: a list of positional arguments that will get unpacked when
+        calling your callable (templated)
+    :type op_args: list
+    :param kwargs_to_upstream: For certain operators, we might need to upstream certain arguments
+        that would otherwise be absorbed by the DecoratedOperator (for example python_callable for the
+        PythonOperator). This gives a user the option to upstream kwargs as needed.
+    :type kwargs_to_upstream: dict
+    """
+
+    template_fields = ('op_args', 'op_kwargs')
+    template_fields_renderers = {"op_args": "py", "op_kwargs": "py"}
+
+    # since we won't mutate the arguments, we should just do the shallow copy
+    # there are some cases we can't deepcopy the objects (e.g protobuf).
+    shallow_copy_attrs = ('python_callable',)
+
+    def __init__(
+        self,
+        *,
+        python_callable: Callable,
+        task_id: str,
+        op_args: Tuple[Any],
+        op_kwargs: Dict[str, Any],
+        **kwargs,
+    ) -> None:
+        kwargs.pop('multiple_outputs')
+        kwargs['task_id'] = get_unique_task_id(task_id, kwargs.get('dag'), kwargs.get('task_group'))
+        self.python_callable = python_callable
+        # Check that arguments can be binded
+        signature(python_callable).bind(*op_args, **op_kwargs)
+        self.op_args = op_args
+        self.op_kwargs = op_kwargs
+        super().__init__(**kwargs)
+
+    def poke(self, context: Dict) -> bool:
+        return self.python_callable(*self.op_args, **self.op_kwargs)
+
+
+def sensor(python_callable: Optional[Callable] = None, multiple_outputs: Optional[bool] = None, **kwargs):
+    """
+    Wraps a function into an Airflow operator.
+
+    Accepts kwargs for operator kwarg. Can be reused in a single DAG.
+
+    :param python_callable: Function to decorate
+    :type python_callable: Optional[Callable]
+    :param multiple_outputs: if set, function return value will be
+        unrolled to multiple XCom values. List/Tuples will unroll to xcom values
+        with index as key. Dict will unroll to xcom values with keys as XCom keys.
+        Defaults to False.

Review comment:
       Thanks! I removed "multiple_outputs" from the key word arg list since sensor operator doesn't have outputs.




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